zw-project2-bash

Welcome to Zhonglin's project #2 bash command line tool development.

In project 2, I created a command line tool to help us pull the data of top 100 global brands with branditory - 2022. The data is downloaded from Kaggle https://www.kaggle.com/datasets/gauravarora1091/top-100-global-brands-by-brandirectory2022

Data looks like

* : I developed three commands that allow users to access to each brand information, sort by the brand information, and use a neat print table to present the information, and these commands can be used via

docker run -it b20ff7e1f60f /bin/bash sort.sh brandirectory-ranking-global-2022.csv

docker run -it b20ff7e1f60f /bin/bash read_n.sh brandirectory-ranking-global-2022.csv

docker run -it b20ff7e1f60f /bin/bash neat.sh brandirectory-ranking-global-2022.csv

to pull the data from the repository.

Run in AWS Cloud9

aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 766481746749.dkr.ecr.us-east-1.amazonaws.com

docker tag 766481746749.dkr.ecr.us-east-1.amazonaws.com/zw277/project2 766481746749.dkr.ecr.us-east-1.amazonaws.com/p2zw277:latest

docker push 766481746749.dkr.ecr.us-east-1.amazonaws.com/p2zw277:latest

Now we can use our command line tool in the Cloud9:

First make sure that we have login to dockerhub and aws:

docker login -u zw277 -p $DOCKER_HUB

Then type the following code in the Cloud9 repo and it should give the pulling data.

docker run -it 766481746749.dkr.ecr.us-east-1.amazonaws.com/p2zw277:latest /bin/bash read_n.sh brandirectory-ranking-global-2022.csv

docker run -it 766481746749.dkr.ecr.us-east-1.amazonaws.com/p2zw277:latest /bin/bash sort.sh brandirectory-ranking-global-2022.csv

docker run -it 766481746749.dkr.ecr.us-east-1.amazonaws.com/p2zw277:latest /bin/bash neat.sh brandirectory-ranking-global-2022.csv

To obtain three ways of accessing the top 100 global brands with branditory data in 2022.